Software Alternatives, Accelerators & Startups

Azure App Service VS AWS Lambda

Compare Azure App Service VS AWS Lambda and see what are their differences

Azure App Service logo Azure App Service

App Service is a cloud platform to build powerful web and mobile apps that connect to data anywhere, in the cloud or on-premises

AWS Lambda logo AWS Lambda

Automatic, event-driven compute service
  • Azure App Service Landing page
    Landing page //
    2022-10-16
  • AWS Lambda Landing page
    Landing page //
    2023-04-29

Azure App Service features and specs

  • Scalability
    Azure App Service automatically scales your apps based on demand, making it easy to handle varying traffic levels without manual intervention.
  • Managed Infrastructure
    Azure App Service takes care of the underlying infrastructure, freeing developers from server management responsibilities and allowing them to focus on code.
  • Built-in DevOps Support
    Offers integrated support for CI/CD pipelines, enabling seamless deployment and collaboration among development teams.
  • Multiple Language Support
    Supports a wide range of programming languages including .NET, Java, Node.js, PHP, Python, and Ruby, providing flexibility in technology stack choice.
  • Security and Compliance
    Provides built-in security tools and features, such as SSL certification, Azure Active Directory integration, and compliance with regulatory standards.
  • Global Reach
    With data centers around the world, Azure App Service allows apps to be distributed globally, reducing latency and improving user experience.
  • Hybrid Connectivity
    Enables secure connectivity between cloud applications and on-premises systems, facilitating hybrid cloud solutions.

Possible disadvantages of Azure App Service

  • Cost
    Can become expensive, especially when scaling applications for high traffic or using additional services that incur extra charges.
  • Cold Start Latency
    Applications may experience higher latency during initial requests due to 'cold start' issues inherent to serverless architectures.
  • Complex Configuration
    Configuring and managing intricate application settings can be complex, requiring a deep understanding of Azure portal and services.
  • Limited Customization
    Some limitations in terms of the customization of the server environment compared to managing infrastructure at a lower level, such as virtual machines.
  • Vendor Lock-In
    Reliance on specific Azure services and APIs can increase the risk of vendor lock-in, making it difficult to migrate to other platforms without rework.
  • Performance Variability
    Performance can vary depending on the chosen pricing tier, with lower tiers possibly affecting application response times.

AWS Lambda features and specs

  • Scalability
    AWS Lambda automatically scales your application by running your code in response to each trigger. This means no manual intervention is required to handle varying levels of traffic.
  • Cost-effectiveness
    You only pay for the compute time you consume. Billing is metered in increments of 100 milliseconds and you are not charged when your code is not running.
  • Reduced Operations Overhead
    AWS Lambda abstracts the infrastructure management layer, so there is no need to manage or provision servers. This allows you to focus more on writing code for your applications.
  • Flexibility
    Supports multiple programming languages such as Python, Node.js, Ruby, Java, Go, and .NET, which allows you to use the language you are most comfortable with.
  • Integration with Other AWS Services
    Seamlessly integrates with many other AWS services such as S3, DynamoDB, RDS, SNS, and more, making it versatile and highly functional.
  • Automatic Scaling and Load Balancing
    Handles thousands of concurrent requests without managing the scaling yourself, making it suitable for applications requiring high availability and reliability.

Possible disadvantages of AWS Lambda

  • Cold Start Latency
    The first request to a Lambda function after it has been idle for a certain period can take longer to execute. This is referred to as a 'cold start' and can impact performance.
  • Resource Limits
    Lambda has defined limits, such as a maximum execution timeout of 15 minutes, memory allocation ranging from 128 MB to 10,240 MB, and temporary storage up to 512 MB.
  • Vendor Lock-in
    Using AWS Lambda ties you into the AWS ecosystem, making it difficult to migrate to another cloud provider or an on-premises solution without significant modifications to your application.
  • Complexity of Debugging
    Debugging and monitoring distributed, serverless applications can be more complex compared to traditional applications due to the lack of direct access to the underlying infrastructure.
  • Cold Start Issues with VPC
    When Lambda functions are configured to access resources within a Virtual Private Cloud (VPC), the cold start latency can be exacerbated due to additional VPC networking overhead.
  • Limited Execution Control
    AWS Lambda is designed for stateless, short-running tasks and may not be suitable for long-running processes or tasks requiring complex orchestration.

Azure App Service videos

Azure App Service (Web Apps) Tutorial

More videos:

  • Review - Getting Started with Azure App Service Web Apps
  • Review - Build and deploy Node.js and React apps with Visual Studio Code, Azure App Service and Cosmos DB

AWS Lambda videos

AWS Lambda Vs EC2 | Serverless Vs EC2 | EC2 Alternatives

More videos:

  • Tutorial - AWS Lambda Tutorial | AWS Tutorial for Beginners | Intro to AWS Lambda | AWS Training | Edureka
  • Tutorial - AWS Lambda | What is AWS Lambda | AWS Lambda Tutorial for Beginners | Intellipaat

Category Popularity

0-100% (relative to Azure App Service and AWS Lambda)
Cloud Computing
5 5%
95% 95
Cloud Hosting
6 6%
94% 94
Web Service Automation
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Azure App Service and AWS Lambda

Azure App Service Reviews

We have no reviews of Azure App Service yet.
Be the first one to post

AWS Lambda Reviews

Top 7 Firebase Alternatives for App Development in 2024
AWS Lambda is suitable for applications with varying workloads and those already using the AWS ecosystem.
Source: signoz.io

Social recommendations and mentions

Based on our record, AWS Lambda seems to be a lot more popular than Azure App Service. While we know about 274 links to AWS Lambda, we've tracked only 1 mention of Azure App Service. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Azure App Service mentions (1)

  • Please help us to choose the right service
    Azure App Service (can be a Linux based on Windows Based). You will declare here what type of machine strength you need (cpu, memory, disk) - Note that you do not have access to the machines themselves , this is not a VM. You do have access of course to the folders where the application will be stored. https://azure.microsoft.com/en-in/products/app-service. Source: over 2 years ago

AWS Lambda mentions (274)

View more

What are some alternatives?

When comparing Azure App Service and AWS Lambda, you can also consider the following products

Google App Engine - A powerful platform to build web and mobile apps that scale automatically.

Amazon S3 - Amazon S3 is an object storage where users can store data from their business on a safe, cloud-based platform. Amazon S3 operates in 54 availability zones within 18 graphic regions and 1 local region.

Dokku - Docker powered mini-Heroku in around 100 lines of Bash

Amazon API Gateway - Create, publish, maintain, monitor, and secure APIs at any scale

Now Platform - Get native platform intelligence, so you can predict, prioritize, and proactively manage the work that matters most with the NOW Platform from ServiceNow.

Salesforce Platform - Salesforce Platform is a comprehensive PaaS solution that paves the way for the developers to test, build, and mitigate the issues in the cloud application before the final deployment.